Remote Sensing Image Matching for Unpiloted Aircraft Based on SIFT Arithmetic Operators

A matching project based on SIFT arithmetic operators is brought forward in the paper in order to realize the matching of remote sensing images for unpiloted aircraft with high-precision. When the unpiloted aircraft is capturing the remote sensing images of high-resolution along the low altitude, since the shooting angles from different stations are also different, the geometric shapes of object imaging might occur the aberrations and the shelter problem from the high-layer buildings, so that results in the difficulty in matching, which becomes the key factor affecting matching quality of remote sensing images for unpiloted aircraft photogrammetry. Based on the main thought of SIFT arithmetic operators by the detailed analysis, a new matching method of remote sensing images for unpiloted aircraft with high precision based on SIFT arithmetic operators is put forward, and it is validated that the algorithm has a quite strong stability by means of the actual image data for unpiloted aircraft.